IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-56707-y.html
   My bibliography  Save this article

In-silico platform for the multifunctional design of 3D printed conductive components

Author

Listed:
  • Javier Crespo-Miguel

    (University Carlos III of Madrid, Avda. de la Universidad 30)

  • Sergio Lucarini

    (Applications and Nanostructures, UPV/EHU Science Park
    Basque Foundation for Science
    Imperial College of London, South Kensington Campus)

  • Sara Garzon-Hernandez

    (University Carlos III of Madrid, Avda. de la Universidad 30)

  • Angel Arias

    (University Carlos III of Madrid, Avda. de la Universidad 30)

  • Emilio Martínez-Pañeda

    (Imperial College of London, South Kensington Campus
    University of Oxford)

  • Daniel Garcia-Gonzalez

    (University Carlos III of Madrid, Avda. de la Universidad 30)

Abstract

The effective electric resistivity of conductive thermoplastics manufactured by filament extrusion methods is determined by both the material constituents and the printing parameters. The former determines the multifunctional nature of the composite, whereas the latter dictates the mesostructural characteristics such as filament adhesion and void distribution. This work provides a multi-scale computational framework to evaluate the thermo-electro-mechanical behaviour of printed conductive polymers. A full-field homogenisation model first provides the influence of material and mesostructural features (i.e., filament orientations, voids and adhesion between filaments). Then, a macroscopic continuum model elucidates the effects of thermo-electro-mechanical mixed boundary conditions. The in-silico multi-scale methodology is validated with extensive original multi-physical experiments and a functional application consisting of an electro-heatable printing cartridge. Overall, this work establishes the foundations to virtually break the gap between mesoscopic and macroscopic multifunctional responses in conductive components manufactured by additive manufacturing techniques.

Suggested Citation

  • Javier Crespo-Miguel & Sergio Lucarini & Sara Garzon-Hernandez & Angel Arias & Emilio Martínez-Pañeda & Daniel Garcia-Gonzalez, 2025. "In-silico platform for the multifunctional design of 3D printed conductive components," Nature Communications, Nature, vol. 16(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56707-y
    DOI: 10.1038/s41467-025-56707-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-56707-y
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-56707-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56707-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.